doc_classification / README.md
raoulmago's picture
End of training
a1315af verified
metadata
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: doc_classification
    results: []

doc_classification

This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0056
  • Precision: 1.0
  • Recall: 1.0
  • F1: 1.0
  • Accuracy: 1.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 8.33 100 0.3533 0.4147 0.3516 0.3805 0.8964
No log 16.67 200 0.0993 0.884 0.8633 0.8735 0.9782
No log 25.0 300 0.0338 0.9882 0.9805 0.9843 0.9977
No log 33.33 400 0.0173 0.9961 0.9922 0.9941 0.9992
0.238 41.67 500 0.0109 1.0 1.0 1.0 1.0
0.238 50.0 600 0.0081 1.0 1.0 1.0 1.0
0.238 58.33 700 0.0068 1.0 1.0 1.0 1.0
0.238 66.67 800 0.0061 1.0 1.0 1.0 1.0
0.238 75.0 900 0.0057 1.0 1.0 1.0 1.0
0.0136 83.33 1000 0.0056 1.0 1.0 1.0 1.0

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.2